|
|
Correlation analysis helps identify the relationship between two or more companies, showing how they move about each other. It helps assess patterns, manage risk, and improve decision-making by revealing which assets correlate positively or negatively.
|
|
|
|
| Symbol | Correlation |
| |
0.046351 |
| |
0.046342 |
| |
0.046342 |
| |
0.046329 |
| |
0.046249 |
| |
0.046204 |
| |
0.046088 |
| |
0.045973 |
| |
0.045944 |
| |
0.045926 |
| |
0.045900 |
| |
0.045870 |
| |
0.045819 |
| |
0.045796 |
| |
0.045680 |
| |
0.045535 |
| |
0.045412 |
| |
0.045410 |
| |
0.045400 |
| |
0.045398 |
| |
0.045378 |
| |
0.045359 |
| |
0.045130 |
| |
0.045070 |
| |
0.044866 |
|
|
|
|
|
Stock Correlation - Explanation
Stock Correlation is the statistical measure of the relationship between two stocks. The correlation coefficient ranges between -1 and +1. A correlation of +1 implies that the two stocks will move in the same direction 100% of the time. A correlation of -1 implies the two stocks will move in the opposite direction 100% of the time. A correlation of zero implies that the relationship between the stocks is completely random. Correlations do not always remain stable and can even change on a daily basis. Correlation analysis can help you to diversify your positions. An imperfect correlation between two different stocks allows for more diversification and marginally lower risk.
|